Table 1.
PLS-DA classification results for the four comparisons investigated: N° of variables and LVs included in each model, %Accuracy (%Acc) and NER%, both in fitting and cross-validation, for the models built on raw data or on first derivative data. Cross-validation was applied with 6 cancellation groups taking out at the same time all the replications of the samples analyzed the same day (1 control and 1 treated fish, 6 total measurements).
Raw Data | First Derivative | ||||||||
---|---|---|---|---|---|---|---|---|---|
N° Variables | N° LV | %Acc | NER% | N° Variables | N° LV | %Acc | NER% | ||
Muscle Short Term | Fitting | 38 | 10 | 86.11 | 86.11 | 61 | 5 | 100 | 100 |
Cross-validation | 83.33 | 83.33 | 100 | 100 | |||||
Muscle Long Term | Fitting | 558 | 6 | 100 | 100 | 314 | 1 | 100 | 100 |
Cross-validation | 100 | 100 | 100 | 100 | |||||
Skin Short Term | Fitting | 470 | 7 | 100 | 100 | 273 | 2 | 100 | 100 |
Cross-validation | 100 | 100 | 100 | 100 | |||||
Skin Long Term | Fitting | 294 | 7 | 100 | 100 | 108 | 3 | 100 | 100 |
Cross-validation | 100 | 100 | 100 | 100 |